Software Engineer – Data Engineering, Staff/Sr Staff

🕒 April 1

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Equilibrium Energy

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚡ Energy

🏢 Enterprise

Energy • AI • Enterprise

Equilibrium Energy is a cutting-edge company focused on addressing the challenges of climate change through innovative energy solutions. They specialize in navigating power volatility and helping leading companies achieve their sustainability and clean energy goals. With a team comprised of top scientists, engineers, and domain experts, Equilibrium Energy stands at the forefront of reimagining the role and capabilities of power companies. They integrate advanced AI techniques with fundamental modeling of physical power systems to drive insights, aiming to create a more sustainable and climate-friendly power industry.

📋 Description

• Design and implement the long-term data architecture using modern technologies and frameworks. • Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt—ingesting data via APIs, web scraping, and streaming sources. • Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. • Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. • Optimize workflows for performance and cost efficiency. • Drive large, cross-functional data initiatives from planning to execution. • Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. • Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. • Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. • Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field. • 7+ years of progressive experience in data or software engineering. • Advanced programming skills in Python and SQL. • Experience building globally distributed data systems and real-time pipelines. • Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. • Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). • Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). • Experience mentoring engineers and providing architectural direction. • Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. • Commitment to data quality, testing, and observability. • Experience with both OLTP and OLAP data processing systems

🏖️ Benefits

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package • Opportunity to own a significant piece of the company via a meaningful equity grant • Unlimited vacation and flexible work schedule • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech